Qleverfile

# Automatically created by the "qlever" script
#
# Modify as you see fit. Beware that some of the values below are executed as
# commands  by the script.
#
# If you have never seen a Qleverfile before, we recommend that you look at the
# pre-filled Qleverfiles on http://qlever.cs.uni-freiburg.de/qlever-control/
# Qleverfiles first to get some inspiration. Or execute `qlever setup-config
# <config name>` with a config name of your choice.

# As a minimum, each dataset needs a name. If you want `qlever get-data` to do
# something meaningful, you need to define GET_DATA_CMD. If you want to use the
# QLever UI, you should define INDEX_DESCRIPTION (and if you have a text index,
# also TEXT_DESCRIPTION).
[data]
NAME              = sbd4nano
GET_DATA_CMD      = wget -nc https://raw.githubusercontent.com/h2020-sbd4nano/sbd-data-landscape-opendata/main/open.ttl && \
    cat open.ttl | grep ^@prefix | tr -s ' ' | sort -u > ${NAME}.prefix-definitions && \
    cat open.ttl | grep -v ^@prefix > open.ttl.noprefixes && \
    mv open.ttl.noprefixes open.ttl
INDEX_DESCRIPTION = SbD4Nano Semantic Landscape (Open)
TEXT_DESCRIPTION  = SbD4Nano Semantic Landscape content with an open license

# As a minimum, you need to define CAT_FILES, which is the command that produces
# the TTL that will be piped into QLever's index builder. Use SETTINGS_JSON for
# more advanced configuration settings.
[index]
FILE_NAMES    = open.ttl
CAT_FILES     = cat ${data:NAME}.prefix-definitions ${FILE_NAMES}
SETTINGS_JSON = { "languages-internal": ["en"], "prefixes-external": [ "<http://purl.uniprot.org/uniprot/" ], "locale": { "language": "en", "country": "US", "ignore-punctuation": true }, "ascii-prefixes-only": true, "num-triples-per-partial-vocab": 20000000 }

# As a minimum, you need to specify the PORT, where QLever will listen for
# SPARQL queries. If you want to send priviledged commands to the server, you
# need to specify ACCESS_TOKEN (modify the random number below).
[server]
PORT = 7001
#ACCESS_TOKEN = ${data:NAME}_

# With USE_DOCKER = true, the qlever script will download the docker image for
# you and run QLever inside docker containers. With USE_DOCKER = false, you need 
# the QLever binaries in the PATH of your sheel.
[docker]
USE_DOCKER = true
IMAGE      = adfreiburg/qlever

# If you want to use the QLever UI, as a minimum you need to specify the PORT
# where the UI is running. The UI is run inside a docker container.
[ui]
PORT  = 7000
CONFIG = default
IMAGE = adfreiburg/qlever-ui